Data QA Engineering

Careernet; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Careernet is seeking an experienced Data QA specialist to validate ETL/ELT pipelines, ensure data quality, and develop automated testing frameworks in Gurgaon. You will perform end-to-end data validation, assess data accuracy and completeness, and integrate validation into CI/CD processes to support reliable data delivery.

Ideal candidates have 5-7 years in Data QA or Data Engineering QA, with strong Python, SQL, and ETL/ELT testing skills, plus hands-on regression testing.

Qualifications

• 5-7 years of experience in Data QA, ETL Testing, or Data Engineering QA.
• Strong expertise in Python, SQL, and ETL/ELT testing.
• Hands-on data validation and regression testing experience.

Responsibilities

• Perform end-to-end data validation across ETL/ELT pipelines.
• Validate data quality, accuracy, completeness, and consistency.
• Develop automated testing frameworks using Python, SQL, and PySpark.
• Execute source-to-target, transformation, and regression testing.
• Integrate data validation into CI/CD pipelines.

Skills

ETL Testing

Python

SQL

PySpark

Data Validation

Azure DevOps

Jenkins

GitLab

Airflow

Education

Any Graduation

Tools

Azure DevOps

Jenkins

GitLab

Airflow

Job description

Key Skills:

ETL Testing, Python, SQL, PySpark, Data Validation, Azure DevOps, Jenkins, GitLab, Airflow

Roles & Responsibilities:

• Perform end-to-end data validation across ETL/ELT pipelines.
• Validate data quality, accuracy, completeness, and consistency.
• Develop automated testing frameworks using Python, SQL, and PySpark.
• Execute source-to-target, transformation, and regression testing.
• Integrate data validation into CI/CD pipelines.
• Identify, troubleshoot, and resolve data quality issues.

Experience Required:

• 5-7 years of experience in Data QA, ETL Testing, or Data Engineering QA.
• Strong expertise in Python, SQL, and ETL/ELT testing.
• Hands-on experience with data validation and regression testing.
• Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitLab.
• Azure Cloud experience is an added advantage.

Education:

Any Graduation